Lan Wei

2.2k citations
29 papers · 1.7k · h-index 17

Impact in

  • Hepatology top 2%
    • Liver physiology and pathology
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Hepatitis C virus research
    • Cancer, Hypoxia, and Metabolism
    • Cancer, Lipids, and Metabolism

Papers in

    • Liver physiology and pathology 4
    • Hepatocellular Carcinoma Treatment and Prognosis 2
    • Liver Disease Diagnosis and Treatment 8
    • Hepatitis B Virus Studies 3

Lan Wei

27 papers receiving 1.7k citations

Peers

Lan Wei
Comparison fields: 5 of 88
  • Hepatology 518
  • Cancer Research 373
  • Epidemiology 589
  • Cell Biology 145
  • Molecular Biology 565
Replace Michèle Egger with:
Michèle Egger Germany
Claudia Paternostro Italy
Sarani Ghoshal United States
Jeongeun Hyun South Korea
Christiane Koppe Germany
Saswati Hazra United States
Christian Dominik Fingas Germany
Steve F. Bronk United States
Youngmin A. Lee United States
Yaojie Fu United States
Lan Wei relative to Michèle Egger Germany Michèle Egger's profile →
Citations per field
00.5×1.7×
Michèle Egger · 1×
Citations per year

Countries citing papers authored by Lan Wei

Since Specialization
Citations

This map shows the geographic impact of Lan Wei's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Lan Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lan Wei more than expected).

Fields of papers citing papers by Lan Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lan Wei. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Lan Wei. The network helps show where Lan Wei may publish in the future.

Co-authors

The 25 scholars most cited alongside Lan Wei, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Lan Wei Line = papers co-authored together Lan Wei links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018335
2 2013298
3 2016174
4 2020100
5 201299
6 201689
7 201885
8 201672
9 201461
10 201560
11 201850
12 201647
13 202135
14 202033
15 201532
16 201728
17 201522
18 202317
19 201413
20 200610

About Lan Wei

Lan Wei is a scholar working on Hepatology, Epidemiology, Cancer Research, Molecular Biology and Cell Biology, having authored 29 papers that have together received 1.7k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (8 papers), Liver physiology and pathology (4 papers), Metabolism, Diabetes, and Cancer (3 papers), Hepatitis B Virus Studies (3 papers), Cancer, Lipids, and Metabolism (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Fibroblast Growth Factor Research (2 papers) and Cancer-related Molecular Pathways (2 papers). The work is most often cited by research in Hepatology (518 citations), Cancer Research (373 citations), Epidemiology (589 citations), Cell Biology (145 citations) and Molecular Biology (565 citations). Lan Wei has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Bryan C. Fuchs, Kenneth K. Tanabe, Gregory Yves Lauwers, Peter D. Caravan, Danielle K. DePeralta, Suguru Yamada, Michael D. Lanuti, Benjamin H. Schmidt, Tyson A. Rietz and Raymond T. Chung. Their work appears in journals such as Hepatology, Journal of Hepatology, Free Radical Biology and Medicine, The Annals of Thoracic Surgery and Journal of Surgical Research.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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